Hughes
Principal Engineer - Data Science
Hughes, Germantown, Maryland, us, 20875
EchoStar Corporation (NASDAQ: SATS) is a premier global provider of satellite communication solutions. Headquartered in Englewood, Colo., and conducting business around the globe, EchoStar is a pioneer in communications technologies through its Hughes Network Systems and EchoStar Satellite Services business segments. For more information, visit echostar.com. Follow @EchoStar on Twitter.Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.EchoStar
has an exciting opportunity for a
Principal Engineer - Data Science
in our Hughes Network Systems division. This position will be located at our headquarters in
Germantown, MD .Responsibilities:Collaborate with cross-functional teams to design, build, and deploy cloud-based solutions and infrastructure on GCP.
Create interactive, meaningful and insightful visualizations, to communicate findings and insights effectively to internal teams and other stakeholders.
Develop and deploy predictive models, recommendation models, time series etc., to provide future predictions for specified enterprise objectives.
Continuously seek out additional data points that can be leveraged to improve accuracy and applicability of the model's results.
Work with large datasets using tools like SQL, Pandas, or similar frameworks.
Design and implement complete and complex data modeling and analytics to measure the performances of telecommunication systems.
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Apply the knowledge in statistics, AI/ML coding and development, cloud-based analytics platform to create an integrated data analytics platform for complex communications system.
Collaborate with leaders and managers to determine and address data and reporting needs for various company projects.
Basic Requirements:Bachelor's degree in data science, computer science, data analytics or a related field
12+ years of experience as a Data Science Engineer
5+ years' Advanced Data Analysis using statistical Modeling and Machine Learning along with data visualization.
5+ years' experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications:Master's degree in data science, computer science, data analytics or a related field
Strong programming skills commonly used for data analysis and machine learning such as R and Python
Experience with GCP, IAM, DB, streaming, and build and deploy services.
Experience in designing, implementing, and fine-tuning machine learning models for various applications (e.g., classification, regression, clustering, recommendation systems).
Experience with machine learning techniques and algorithms (e.g., TensorFlow, sklearn, numpy, pytorch) and their applications.
Experience with deep learning and neural networks.
Experience designing applications for observability using metrics, monitoring, logging, and alarming.
Experience with data visualization tools and libraries such as Power BI & Tableau.
Familiarity with big data technologies like Snowflake, Big query, or other distributed computing frameworks
Knowledge of SQL and databases for data retrieval and manipulation.
Excellent communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.
Experience presenting findings and insights to diverse audiences.
Experience with GIT, Confluence, Jira, and Bitbucket
Strong understanding of machine learning algorithms, statistical modeling, and data manipulation techniques.
Strong problem-solving, analytical and troubleshooting skills.
Will be eligible for discretionary bonus, with funding based on company performance.#M#LI-EM1Compensation RangeAnnual Salary: $96,000.00 - $128,000.00
EchoStar is committed to offering a comprehensive and competitive benefits package. Our programs are designed to provide you with the ability to customize your benefits to best meet the needs of you and your family. Our philosophy for these programs is to support and encourage healthy living and wellness. Our benefits package covers it all-from healthcare savings plans to education assistance and more!Financial
:
401(k) retirement savings plan with company match; employee stock purchase plan; profit-sharing; company-paid life insurance, AD&D and disability
Work-Life Balance
:
Paid Time Off (PTO), company-paid holidays, health and wellness events, exercise and sports facilities (locations may vary)
Employee Incentives
: Tuition reimbursement, employee referral program, year round employee events and community programs, discounts on Dish Network and HughesNet
Health
:
Medical, Dental, Vision, Employee Assistance Program (EAP), Health Savings Account (HSA) with opportunities to earn employer contributions; Health Care, Dependent Care and Transportation Flexible Spending Accounts (FSA)
EchoStar and its Affiliated Companies are committed to hiring and retaining a diverse workforce. We are an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, pregnancy, sex, sexual orientation, gender identity, national origin, age, genetic information, protected veteran status, disability, or any other basis protected by local, state, or federal law. U.S. Persons or those able to obtain and maintain U.S. government security clearances may be required for certain positions. EEO is the law.
has an exciting opportunity for a
Principal Engineer - Data Science
in our Hughes Network Systems division. This position will be located at our headquarters in
Germantown, MD .Responsibilities:Collaborate with cross-functional teams to design, build, and deploy cloud-based solutions and infrastructure on GCP.
Create interactive, meaningful and insightful visualizations, to communicate findings and insights effectively to internal teams and other stakeholders.
Develop and deploy predictive models, recommendation models, time series etc., to provide future predictions for specified enterprise objectives.
Continuously seek out additional data points that can be leveraged to improve accuracy and applicability of the model's results.
Work with large datasets using tools like SQL, Pandas, or similar frameworks.
Design and implement complete and complex data modeling and analytics to measure the performances of telecommunication systems.
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Apply the knowledge in statistics, AI/ML coding and development, cloud-based analytics platform to create an integrated data analytics platform for complex communications system.
Collaborate with leaders and managers to determine and address data and reporting needs for various company projects.
Basic Requirements:Bachelor's degree in data science, computer science, data analytics or a related field
12+ years of experience as a Data Science Engineer
5+ years' Advanced Data Analysis using statistical Modeling and Machine Learning along with data visualization.
5+ years' experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications:Master's degree in data science, computer science, data analytics or a related field
Strong programming skills commonly used for data analysis and machine learning such as R and Python
Experience with GCP, IAM, DB, streaming, and build and deploy services.
Experience in designing, implementing, and fine-tuning machine learning models for various applications (e.g., classification, regression, clustering, recommendation systems).
Experience with machine learning techniques and algorithms (e.g., TensorFlow, sklearn, numpy, pytorch) and their applications.
Experience with deep learning and neural networks.
Experience designing applications for observability using metrics, monitoring, logging, and alarming.
Experience with data visualization tools and libraries such as Power BI & Tableau.
Familiarity with big data technologies like Snowflake, Big query, or other distributed computing frameworks
Knowledge of SQL and databases for data retrieval and manipulation.
Excellent communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.
Experience presenting findings and insights to diverse audiences.
Experience with GIT, Confluence, Jira, and Bitbucket
Strong understanding of machine learning algorithms, statistical modeling, and data manipulation techniques.
Strong problem-solving, analytical and troubleshooting skills.
Will be eligible for discretionary bonus, with funding based on company performance.#M#LI-EM1Compensation RangeAnnual Salary: $96,000.00 - $128,000.00
EchoStar is committed to offering a comprehensive and competitive benefits package. Our programs are designed to provide you with the ability to customize your benefits to best meet the needs of you and your family. Our philosophy for these programs is to support and encourage healthy living and wellness. Our benefits package covers it all-from healthcare savings plans to education assistance and more!Financial
:
401(k) retirement savings plan with company match; employee stock purchase plan; profit-sharing; company-paid life insurance, AD&D and disability
Work-Life Balance
:
Paid Time Off (PTO), company-paid holidays, health and wellness events, exercise and sports facilities (locations may vary)
Employee Incentives
: Tuition reimbursement, employee referral program, year round employee events and community programs, discounts on Dish Network and HughesNet
Health
:
Medical, Dental, Vision, Employee Assistance Program (EAP), Health Savings Account (HSA) with opportunities to earn employer contributions; Health Care, Dependent Care and Transportation Flexible Spending Accounts (FSA)
EchoStar and its Affiliated Companies are committed to hiring and retaining a diverse workforce. We are an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, pregnancy, sex, sexual orientation, gender identity, national origin, age, genetic information, protected veteran status, disability, or any other basis protected by local, state, or federal law. U.S. Persons or those able to obtain and maintain U.S. government security clearances may be required for certain positions. EEO is the law.